Endothelial cell chimerism after renal transplantation in a rat model1
Bibliographic record
Abstract
BACKGROUND: Endothelial chimerism, that is, the replacement of damaged donor endothelium by recipient precursors, has been proposed to reduce the allogeneic stimulus and graft rejection. However, both its mechanism and consequence are poorly understood. In this study, we set up a rat model of renal transplantation to investigate the phenomenon of endothelial chimerism and the relationship among the factors involved in its induction, such as preischemic injury, severity of graft rejections, and the role of cyclosporine A toxicity. METHODS: Female Lewis rats received renal transplants from male Brown Norway kidneys. Groups were divided according to ischemia or nonischemia of the donor kidney and cyclosporine treatment or nonimmunosuppression. To investigate the endothelial chimerism, an in situ hybridization by an X-chromosome-specific DNA probe was performed. The severity of allograft rejection was scored according to the Banff '97 classification. RESULTS: In grafts without preischemic injury or without cyclosporine A treatment, a low degree of endothelial chimerism was detected, although severe vascular rejection and tissue necrosis developed. More chimerism was found in recipients receiving an ischemic kidney followed by immunosuppressive treatment, although less severe rejection developed. In recipients receiving an ischemic kidney without cyclosporine A treatment, the highest degree of endothelial chimerism occurred. CONCLUSIONS: Endothelial chimerism demonstrated in rats after renal transplantation may be caused by endothelial damage induced by vascular rejection or ischemia. Ischemia had the strongest association with the induction of chimerism, which may function as a synergistic promoter. A low-dose cyclosporine A treatment was shown to inhibit endothelial replacement.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".